3 papers
A Multi-objective Evolutionary Algorithm for EEG Inverse Problem
José Enrique Alvarez Iglesias, Mayrim Vega-Hernández, Eduardo Martínez-Montes
In this paper, we proposed a multi-objective approach for the EEG Inverse Problem. This formulation does not need unknown parameters that involve empirical procedures. Due to the c…
Modeling functional resting-state brain networks through neural message passing on the human connectome
Julio A. Peraza-Goicolea, Eduardo Martínez-Montes, Eduardo Aubert +2
Understanding the relationship between the structure and function of the human brain is one of the most important open questions in Neurosciences. In particular, Resting State Netw…
Empirical bayes formulation of the elastic net and mixed-norm models: application to the eeg inverse problem
Deirel Paz-Linares, Mayrim Vega-Hernández, Pedro A. Rojas-López +2
The estimation of EEG generating sources constitutes an Inverse Problem (IP) in Neuroscience. This is an ill-posed problem, due to the non-uniqueness of the solution, and many kind…